metadata
tags:
- adapter-transformers
- t5
datasets:
- minh21/cpgQA-v1.0-unique-context-test-10-percent-validation-10-percent
Adapter legacy107/adapter-flan-t5-large-bottleneck-adapter-cpgQA for google/flan-t5-large
An adapter for the google/flan-t5-large model that was trained on the minh21/cpgQA-v1.0-unique-context-test-10-percent-validation-10-percent dataset.
This adapter was created for usage with the adapter-transformers library.
Usage
First, install adapter-transformers:
pip install -U adapter-transformers
Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More
Now, the adapter can be loaded and activated like this:
from transformers import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("google/flan-t5-large")
adapter_name = model.load_adapter("legacy107/adapter-flan-t5-large-bottleneck-adapter-cpgQA", source="hf", set_active=True)